Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes.
Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes.
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DOI:
10.1038/s41467-021-27079-w
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发表时间:
2021-11-26
影响因子:
16.6
通讯作者:
Olopade OI
中科院分区:
文献类型:
--
作者:
Ansari-Pour N;Zheng Y;Yoshimatsu TF;Sanni A;Ajani M;Reynier JB;Tapinos A;Pitt JJ;Dentro S;Woodard A;Rajagopal PS;Fitzgerald D;Gruber AJ;Odetunde A;Popoola A;Falusi AG;Babalola CP;Ogundiran T;Ibrahim N;Barretina J;Van Loo P;Chen M;White KP;Ojengbede O;Obafunwa J;Huo D;Wedge DC;Olopade OI
Black women across the African diaspora experience more aggressive breast cancer with higher mortality rates than white women of European ancestry. Although inter-ethnic germline variation is known, differential somatic evolution has not been investigated in detail. Analysis of deep whole genomes of 97 breast cancers, with RNA-seq in a subset, from women in Nigeria in comparison with The Cancer Genome Atlas (n = 76) reveal a higher rate of genomic instability and increased intra-tumoral heterogeneity as well as a unique genomic subtype defined by early clonal GATA3 mutations with a 10.5-year younger age at diagnosis. We also find non-coding mutations in bona fide drivers (ZNF217 and SYPL1) and a previously unreported INDEL signature strongly associated with African ancestry proportion, underscoring the need to expand inclusion of diverse populations in biomedical research. Finally, we demonstrate that characterizing tumors for homologous recombination deficiency has significant clinical relevance in stratifying patients for potentially life-saving therapies. Breast cancer heterogeneity and tumour evolutionary trajectories remain largely unknown among women of African ancestry. Here, the authors perform whole genome and transcriptome sequencing of Nigerian breast cancer patients and identify unique evolutionary phenomena.
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影响因子:
82.9
作者:
Bernard E;Nannya Y;Hasserjian RP;Devlin SM;Tuechler H;Medina-Martinez JS;Yoshizato T;Shiozawa Y;Saiki R;Malcovati L;Levine MF;Arango JE;Zhou Y;Solé F;Cargo CA;Haase D;Creignou M;Germing U;Zhang Y;Gundem G;Sarian A;van de Loosdrecht AA;Jädersten M;Tobiasson M;Kosmider O;Follo MY;Thol F;Pinheiro RF;Santini V;Kotsianidis I;Boultwood J;Santos FPS;Schanz J;Kasahara S;Ishikawa T;Tsurumi H;Takaori-Kondo A;Kiguchi T;Polprasert C;Bennett JM;Klimek VM;Savona MR;Belickova M;Ganster C;Palomo L;Sanz G;Ades L;Della Porta MG;Elias HK;Smith AG;Werner Y;Patel M;Viale A;Vanness K;Neuberg DS;Stevenson KE;Menghrajani K;Bolton KL;Fenaux P;Pellagatti A;Platzbecker U;Heuser M;Valent P;Chiba S;Miyazaki Y;Finelli C;Voso MT;Shih LY;Fontenay M;Jansen JH;Cervera J;Atsuta Y;Gattermann N;Ebert BL;Bejar R;Greenberg PL;Cazzola M;Hellström-Lindberg E;Ogawa S;Papaemmanuil E
通讯作者:
Papaemmanuil E
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
1.7
作者:
Abu-Asab, M. S.;Abu-Asab, N.;Amri, H.
通讯作者:
Amri, H.
影响因子:
16.6
作者:
Cmero, Marek;Yuan, Ke;Macintyre, Geoff
通讯作者:
Macintyre, Geoff
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y